measurement bias

measurement bias

Decision making
A systematic measurement error that skews all data; for example, an improperly calibrated sphygmomanometer produces biased blood pressure readings.
 
EBM
A systematic error that occurs when, because of the lack of blinding or related reasons such as diagnostic suspicion, the measurement methods (instrument, or observer of instrument) are consistently different between the groups in a study.
References in periodicals archive ?
Yes, 235 ways scientists can fool themselves, with sober names such as confounding, selection bias, recall bias, reporting bias, ascertainment bias, sex bias, cognitive bias, measurement bias, verification bias, publication bias, observer bias, and on and on.
2] retrievals: Sensitivity to measurement bias inside and outside Europe.
To help realise the full potential of the human microbiome the complex microbial communities that exist in the human body for therapeutics and clinical diagnostic applications, there is a need to identify and eliminate measurement bias throughout the microbiome measurement process and hence improve the comparability of results between laboratories.
There are limitations to the study including potential for selection and measurement bias, so the results should be interpreted with this in mind.
Measurement bias results from inadequacy, or lack of validity, of the measurement instrument or method.
A single researcher performed the scoring, with consensus sought only in cases of ambiguity; this potentially introduces measurement bias but eliminates the possibility of inter-observer error.
This approach would not only minimize measurement bias due to systematic wear-time variation, but would also create a uniform platform to compare estimates of activity obtained from all types of accelerometers, both within and between populations.
This rigor minimizes the increase in measurement uncertainty occurring during the calibration of a routine assay and enables reliable determination of potential measurement bias.
A single operator who has been trained to measure waist circumference as per the WHO guidelines is used repeatedly in order to reduce measurement bias (8).
Measurement bias was assessed by determining the average difference between the measured pressure and shear values and the accepted reference values.
In particular, IRT-based techniques facilitate the process of specific item selection, allow for increased measurement precision with fewer items, and provide greater capacity for understanding and accounting for measurement bias across diverse populations.
The study may also be subject to measurement bias because it relied on subject-reported weights.
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